Study on Model Iterative Reconstruction Algorithm vs. Filter Back Projection Algorithm for Diagnosis of Acute Cerebral Infarction Using CT Images

Table 2

Comparison results of perfusion indicators in gray and white matter among patients in the two groups.

Group	Reconstruction methods		CBV (mL/100 g)	CBF (mL/100 g/min)	MTT (s)	TTP (s)
A	FBP	Gray matter	5.08 ± 0.42	54.23 ± 4.97	5.65 ± 0.76	18.65 ± 2.87
		White matter	3.12 ± 0.23	23.32 ± 2.16	7.38 ± 1.12	19.86 ± 2.97
B	FBP	Gray matter	4.76 ± 0.45	61.65 ± 8.32	8.23 ± 1.98	18.74 ± 2.31
		White matter	3.16 ± 0.72	31.54 ± 3.21	11.76 ± 2.12	19.23 ± 2.76
	iDose4	Gray matter	4.98 ± 0.47	53.09 ± 3.97	6.54 ± 1.19	18.54 ± 2.13
		White matter	3.17 ± 0.64	25.76 ± 2.96	10.09 ± 2.01	19.76 ± 3.21
	IMR1	Gray matter	5.32 ± 0.71	51.85 ± 3.21	6.21 ± 0.87	18.65 ± 2.45
		White matter	3.16 ± 0.42	23.76 ± 2.93	7.86 ± 1.32	19.93 ± 2.87
	IMR2	Gray matter	5.54 ± 0.89	51.23 ± 3.63	6.26 ± 0.76	18.65 ± 2.52
		White matter	3.21 ± 0.41	23.67 ± 2.87	7.63 ± 1.06	19.78 ± 2.76
	IMR3	Gray matter	5.39 ± 0.75	52.98 ± 5.87	6.24 ± 0.52	18.76 ± 2.61
		White matter	3.23 ± 0.51	22.54 ± 2.12	7.80 ± 1.13	19.72 ± 2.84
Z		Gray matter	5.42	4.87	18.65	0.008
		White matter	0.8	12.43	39.76	0.5
		Gray matter	<0.001	0.001	<0.001	1.8
		White matter	0.72	<0.001	<0.001	0.93